Artificial Intelligence for Solar Photovoltaic Systems

Approaches, Methodologies, and Technologies
1. Auflage 2022
ISBN: 978-1-032-05441-4
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 308 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 612 g

Reihe: Explainable AI (XAI) for Engineering Applications

This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques.

It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI.

This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Kumar, Bhavnesh

Pratap, Bhanu

Shrivastava, Vivek

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

1. History and Application of Solar PV System. 2. Solar Power Forecasting. 3. Comprehensive Technique for Modelling of PV Module. 4. Conventional Techniques for Maximum Power Point Tracking. 5. Intelligent Techniques for Maximum Power Point Tracking. 6. Analysis of Multijunction Solar Cell-Based PV System with MPPT Schemes. 7. Emerging Techniques of Shade Dispersion. 8. Solar Tracking Technology to Harness the Green Energy. 9. Development of Solar Panels Models in Different Countries/Regions. 10. Performance Degradation in Solar Modules. 11. Performance and Reliability Investigation of Practical Microgrid Grid with Photovoltaic Units.

Über Autor(innen)

Bhavnesh Kumar is an Assistant Professor in the area of power electronics & drives at the Division of Instrumentation & Control Engineering, NSIT Delhi.

Bhanu Pratap is working as an Assistant Professor in the Department of Electrical Engineering, National Institute of Technology Kurukshetra, India.

Vivek Shrivastava presently is the Dean (Research & Consultancy) at the National Institute of Technology Delhi.